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mike47512

Pinduoduo

by mike47512 · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ Security Clean
499
Downloads
0
Stars
5
Active Installs
1
Versions
Install in OpenClaw
/install pinduoduo
Description
Provides summarized price, reviews, and promotional info for public Pinduoduo product and event pages without placing orders or bypassing controls.
Usage Guidance
This skill appears coherent and low-risk: it only instructs the agent how to collect and summarize publicly visible product/event data. Before installing, consider (1) whether you trust the agent to respect the SKILL.md limits—avoid giving account credentials or other secrets to the skill, (2) the legal/terms-of-service and rate-limiting implications of automated scraping for your jurisdiction and use case, and (3) whether you want to restrict autonomous invocation if you prefer manual control over any web access the agent performs.
Capability Analysis
Type: OpenClaw Skill Name: pinduoduo Version: 0.1.0 The skill bundle consists of metadata and a documentation file (SKILL.md) that provides instructions for an AI agent to analyze public Pinduoduo product listings. It lacks any executable code, and the instructions explicitly emphasize compliance with platform rules, avoiding risk-control bypasses, and focusing solely on public data retrieval and summarization.
Capability Assessment
Purpose & Capability
Name/description match the runtime instructions: the SKILL.md describes extracting price, review and promo info from public product/event pages. The skill does not request unrelated credentials, binaries, or config paths.
Instruction Scope
Instructions restrict activity to public pages, recommend manual/app usage where web is limited, note frequency control, and explicitly forbid order placement, API reverse‑engineering, or bulk scraping. The steps (search → visit → parse → summarize) are consistent with the stated purpose.
Install Mechanism
No install spec or code files are present (instruction-only), so nothing will be written to disk or fetched during install.
Credentials
The skill declares no environment variables, credentials, or config paths. There is no disproportionate access requested for the described functionality.
Persistence & Privilege
always is false (default), and autonomous model invocation is the platform default but not by itself a concern. The skill does not request persistent system-wide changes or cross-skill config access.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install pinduoduo
  3. After installation, invoke the skill by name or use /pinduoduo
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release of pinduoduo-hot-trend skill. - Enables information retrieval and light analysis for public product and event pages on Pinduoduo. - Provides summaries of product listings and details (price ranges, review counts, promotion types). - Supports lightweight competitive comparison of similar products by brand/specs/pricing. - Only works with publicly available web pages; does not support ordering or bypassing platform protections. - Reminds users to follow platform rules and avoid batch data collection.
Metadata
Slug pinduoduo
Version 0.1.0
License MIT-0
All-time Installs 6
Active Installs 5
Total Versions 1
Frequently Asked Questions

What is Pinduoduo?

Provides summarized price, reviews, and promotional info for public Pinduoduo product and event pages without placing orders or bypassing controls. It is an AI Agent Skill for Claude Code / OpenClaw, with 499 downloads so far.

How do I install Pinduoduo?

Run "/install pinduoduo" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Pinduoduo free?

Yes, Pinduoduo is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Pinduoduo support?

Pinduoduo is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Pinduoduo?

It is built and maintained by mike47512 (@mike47512); the current version is v0.1.0.

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